We summarize recent contributions in the broad area of age of information (AoI). In
particular, we describe the current state of the art in the design and optimization of low …

Mobile edge computing (MEC) is a promising technique to enhance computation capacity at
the edge of mobile networks. The joint problem of partial offloading decision, offloading …

Given the revolutionary role of metaverses, healthcare metaverses are emerging as a
transformative force, creating intelligent healthcare systems that offer immersive and …

We consider a cache updating system with a source, a cache and a user. There are n files.
The source keeps the freshest version of the files which are updated with known rates λ i …

For several industrial applications, a sole data owner may lack sufficient training samples to
train effective machine learning based models. As such, we propose a federated learning …

The freshness of status information is of great importance for time-critical Internet-of-Things
(IoT) applications. A metric measuring status freshness is the Age of Information (AoI), which …

In this paper, we design dynamic probabilistic caching for the scenario when the
instantaneous content popularity may vary with time while it is possible to predict the …

Mobile edge computing (MEC) is envisioned as a promising solution to real-time services in
Internet of Vehicles (IoV) by enabling edge caching, computing and communication …

In this paper, the content service provision of information-centric vehicular networks (ICVNs)
is investigated from the aspect of mobile edge caching, considering the dynamic driving …